ai-ux-review

Evaluate human-AI interaction design decisions and generate Markdown and HTML review artifacts.

1|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/sorawit-w/agent-skills --skill ai-ux-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-ux-review
Source: https://github.com/sorawit-w/agent-skills/tree/main/skills/ai-ux-review
Command: npx skills add https://github.com/sorawit-w/agent-skills --skill ai-ux-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps teams systematically evaluate whether their AI products have been intentionally designed with responsible human-AI interaction principles, reducing oversight.

Core Features & Use Cases

  • Design Completeness Check: Guides users through a comprehensive seven-block assessment of human-AI design decisions.
  • Artifact Generation: Produces an editable Markdown report and a shareable, print-ready HTML visualization of the review.
  • Use Case: A product team preparing a launch performs this review to identify gaps in trust calibration, output integrity, or error handling, ensuring responsible deployment.

Quick Start

Ask the AI to review your AI feature by running the command: "Perform a responsible AI design review for my feature and generate the report."

Frequently Asked Questions about ai-ux-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform a responsible AI design review before product launch?

A responsible AI design review evaluates human-AI interaction decisions through a seven-block assessment covering trust calibration, output integrity, and error handling. It generates Markdown and HTML reports to ensure responsible deployment during pre-launch reviews or post-shipment audits.

What is responsible AI design evaluation for human-AI interaction?

Responsible AI design evaluation systematically checks whether AI products intentionally incorporate human-centered principles. It assesses feedback control and output integrity to reduce oversight gaps, ensuring products are safely deployed with proper user trust calibration.

How do I check my AI feature for trust calibration and output integrity gaps?

Check trust calibration and output integrity gaps by evaluating your feature against a comprehensive seven-block assessment. This structured review covers human-centered design decisions, error handling, and user control to identify missing responsible AI principles.

Can I generate a shareable report for my AI design audit without external dependencies?

You can generate shareable audit reports without external dependencies. The review process outputs editable Markdown and print-ready HTML artifacts visualizing the design evaluation, requiring no additional setup or framework installations.

When do I need to run a structured human-centered AI design assessment?

Run a structured human-centered AI design assessment during pre-launch reviews, post-shipment audits, or design iterations. It is needed when evaluating whether AI features have intentional responsible deployment principles and sufficient feedback control.